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Statistical package for the social sciences for windows spss version 22 0

Manufactured by IBM
Sourced in United States

SPSS (Statistical Package for the Social Sciences) version 22.0 for Windows is a comprehensive software suite for statistical analysis. It provides a range of advanced analytical tools and techniques for researchers and professionals working in various fields, including social sciences, behavioral sciences, and market research. The software enables users to perform a wide variety of statistical analyses, including descriptive statistics, regression analysis, factor analysis, and more. SPSS offers a user-friendly interface and a powerful set of features designed to facilitate data management, analysis, and reporting.

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5 protocols using statistical package for the social sciences for windows spss version 22 0

1

Comparison of LPR-Associated Symptoms

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Statistical analyses were performed with the Statistical Package for the Social Sciences for Windows (SPSS version 22,0; IBM Corp, Armonk, NY, USA). The proportions of LPR-associated versus non-associated symptoms or findings were compared between groups (patient prevalence versus OTO-HNS-attributed prevalence) with the χ2 test. A p-value <0.05 was considered as significant.
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2

Olfactory Dysfunction Correlates

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Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows (SPSS version 22,0; IBM Corp, Armonk, NY, USA). The relationship between clinical and olfactory outcomes was analyzed through non-parametric test using Spearman correlation for scale data. We investigated all potential associations between nasal obstruction, rhinorrhea, endoscopy and radiology scores and the occurrence of olfactory disorder (Sniffin' Sticks test). A level of significance of p<0.05 was used.
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3

Olfactory Outcomes and Nasal Complaints

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Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows (SPSS version 22,0; IBM Corp, Armonk, NY, USA). The relationship between clinical and olfactory outcomes was analyzed through non-parametric test using Spearman correlation for scale data, Khi2 test for ordinal data and Mann-Whitney or Kruskal-Wallis test for categorized data. We investigated all potential associations between nasal complaints (nasal obstruction, rhinorrhea, postnasal drip) and the occurrence of olfactory disorder (sni inʼstick test). A level of significance of p<0.05 was used.
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4

Olfactory Dysfunction and Viral Load

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Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows (SPSS version 22,0; IBM Corp, Armonk, NY, USA). The relationship between CT (inversely reflecting viral load) and the duration of olfactory dysfunction was assessed by Spearman rho test. A level of significance of p<0.05 was used.
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5

Association of Nasal Symptoms and Olfactory Function

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Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows (SPSS version 22,0; IBM Corp, Armonk, NY, USA). The relationship between clinical and olfactory outcomes was analyzed through non-parametric test using Spearman correlation for scale data, Khi2 test for ordinal data and Mann-Whitney or Kruskal-Wallis test for categorized data. We investigated all potential associations between nasal complaints (nasal obstruction, rhinorrhea, postnasal drip) and the occurrence of olfactory disorder (sniffin'stick test). A level of significance of p<0.05 was used.
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